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Big Data Analytic Use Cases in Financial Services and Insurance

UPDATE, 7/5/13: REGISTRATION IS FULL

Join us for a “lunch and learn” to hear how financial services and insurance companies are leveraging Hadapt, MapR, and Tableau to deliver the richest analytic insights for mission-critical applications, such as:

•Customer experience analytics: Pull data from more sources, and process it faster, to provide enhanced analytics around customer interactions and wallet share.

•Customer lifecycle management: Perform holistic root-cause analysis of customer churn, and identify/implement targeted actions to help reduce turnover.

•Fraud detection and analysis: Easily detect fraud signatures for effective risk management and loss prevention. Develop models that predict future fraud events.

•Trade analysis: Analyze the daily streams of transaction data in conjunction with unstructured news or social media feeds, or back-test trading algorithms.

•Web-scale analysis: Analyze what is being said on the web at large, and on social networks, to improve marketing to existing customers through better targeting.

Who Should Attend?

Risk professionals, fraud professionals, security professionals, actuaries, CIOs, CTOs, CISOs, CAOs, quants, data scientists, data analysts, Big Data technologists, Hadoop engineers, visualization professionals, and more.

Join or login to comment.

  • Melanie A.

    I found it very informative.

    July 24, 2013

  • Geoff D.

    leverage big data for marketing analytics at nationwide retailer in west suburbs

    July 19, 2013

  • Weili S.

    Sorry, wont' be able to attend. Schedule conflict with meeting at work.

    July 17, 2013

  • A former member
    A former member

    Registration is now full. Thanks for signing up!

    July 5, 2013

  • Jim P.

    Big Data, big value, good times

    July 2, 2013

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